A joint three-plane physics-constrained deep learning based polynomial fitting approach for MR electrical properties tomography by Kyu-Jin Jung, Thierry G. Meerbothe, Chuanjiang Cui, Mina Park, Cornelis A.T. van den Berg, Stefano Mandija, Dong-Hyun Kim

“…To estimate tissue electrical properties, various reconstruction algorithms have been proposed. However, physics-based reconstructions are prone to various artifacts such as noise amplification and boundary artifact. …”
Get full text

Artificial intelligence based analysis for magnetized casson fluid in partially heated cavity rooted with heated fin by Khalil Ur Rehman, Wasfi Shatanawi, Lok Yian Yian

Get full text

Enhancing security and efficiency in Mobile Ad Hoc Networks using a hybrid deep learning model for flooding attack detection by Pramodh Krishna D., E. Sandhya, Khaja Shareef Sk, Srihari Varma Mantena, Venkata Subbaiah Desanamukula, Ch Koteswararao, Srinivasa Rao Vemula, Maruthi Vemula

Get full text

Single-image super-resolution of gamma-ray imaging system using deep denoiser prior based on plug-and-play framework by Guo-Guang Li, Liang Sheng, Bao-Jun Duan, Yang Li, Yan Song, Zi-Jian Zhu, Wei-Peng Yan, Dong-Wei Hei, Qing-Zi Xing

Get full text

Geoecological Analysis of the Effects of Pipeline Transport on the Environment of Transit Regions (Voronezh Region, Russia) by L. A. Mezhova, A. M. Lugovskoy, Yu. N. Gladkiy, A. B. Glazyeva, O. Yu. Sushkova, L. B. Vampilova, A. A. Sokolova, L. A. Lugovskaya

Get full text

Integrated analysis of single-cell and bulk transcriptomics reveals cellular subtypes and molecular features associated with osteosarcoma prognosis by Feng Liu, Tingting Zhang, Yongqiang Yang, Kailun Wang, Jinlan Wei, Ji-Hua Shi, Dong Zhang, Xia Sheng, Yi Zhang, Jing Zhou, Faming Zhao

“…Multiple machine learning algorithms were applied to develop tumor purity prediction models based on transcriptomic profile of OS. …”
Get full text

Prospects of artificial intelligence for the sustainability of sugarcane production in the modern era of climate change: An overview of related global findings by Rajan Bhatt, Akbar Hossain, Debjyoti Majumder, Mandapelli Sharath Chandra, Rajiv Ghimire, Muhammad Faisal Shahzad, Krishan K. Verma, Amarinder Singh Riar, Vishnu D. Rajput, Mauro Wagner Oliveira, Adel Nisi, Riyadh S. Almalki, Viliam Bárek, Marian Brestic, Sagar Maitra

“…This study discusses the latest research on artificial intelligence (AI) in sugarcane farming, with particular attention given to soil biochemistry, disease detection, climate-smart technology for greenhouse gas emissions, yield and water productivity prediction, and cane juice biochemistry. Artificial intelligence (AI) tools, such as machine learning algorithms, can optimize irrigation, increase yields, save water, and properly estimate sugarcane production. …”
Get full text

Experimental Investigation and NSGA-III Multi-Criteria Optimization of 60CrMoV18-5 Cold-Work Tool Steel Machinability Under Dry CNC Hard Turning Conditions by Nikolaos A. Fountas, Ioannis G. Papantoniou, Dimitrios E. Manolakos, Nikolaos M. Vaxevanidis

Get full text

On nonlinear coupled differential system for heat transfer in magnetized enclosure with T-shaped baffle by using machine learning by Khalil Ur Rehman, Wasfi Shatanawi, Lok Yian Yian

Get full text

Design Principles of a Flat-Pack Electronic Sensor Kit with Intelligent User Interface Calibrations: A Case Study of Monitoring Sedentary Behavior in Workplace by Ananda Maiti, Vanessa Ward, Amy Hilliard, Anjia Ye, Scott J. Pedersen

Get full text

Revolutionizing total hip arthroplasty: The role of artificial intelligence and machine learning by Umile Giuseppe Longo, Sergio De Salvatore, Alice Piccolomini, Nathan Samuel Ullman, Giuseppe Salvatore, Margaux D'Hooghe, Maristella Saccomanno, Kristian Samuelsson, Rocco Papalia, Ayoosh Pareek

“…Abstract Purpose There has been substantial growth in the literature describing the effectiveness of artificial intelligence (AI) and machine learning (ML) applications in total hip arthroplasty (THA); these models have shown the potential to predict post‐operative outcomes using algorithmic analysis of acquired data and can ultimately optimize clinical decision‐making while reducing time, cost and complexity. …”
Get full text

A Data Mining Approach to Consumers’ Choice of Retail Market: The Case of Urban Retail Markets in Iran by H. Hashemzadeh, N. Yousefian, S. Esfandiari Bahraseman, A. Karbasi, A. Firoozzare

“…This study examines the various socio-economic factors influencing consumers' decisions in the retail market by using the C4.5 algorithm. The data were collected using a random sampling method through a survey of 189 consumers, focusing on the population of Mashhad, Iran, during 2019-2020. …”
Get full text

Adaptive Spanning Tree-Based Coverage Path Planning for Autonomous Mobile Robots in Dynamic Environments by K. P. Jayalakshmi, Vishnu G. Nair, Dayakshini Sathish, K. R. Guruprasad

Get full text

Characteristics of transcriptome and chromatin accessibility in the peripheral blood after acute hypoxia exposure by Kuo Zeng, Pei-ru Yuan, Jin-feng Xuan, Lai-xi Zhao, Xiao-na Li, Jun Yao, Dong Zhao

Get full text

An Intelligent Method for C++ Test Case Synthesis Based on a Q-Learning Agent by Serhii Semenov, Oleksii Kolomiitsev, Mykhailo Hulevych, Patryk Mazurek, Olena Chernyk

Get full text

Projection of future malaria prevalence in the upper river region of The Gambia by Ugochinyere Agatha Okafor, Pierre-Claver Konin Kakou, Umberto D’Alessandro, Vincent Nduka Ojeh, Sidat Yaffa

Get full text

Radiological and Functional Research Methods in the Diagnosis of Segmental Instability in Cervical Osteochondrosis and of Cervicobrachial Syndrome by Z. V. Koshkareva, V. A. Sorokovikov, A. P. Zhivotenko, O. V. Sklyarenko, B. B. Damdinov, А. N. Kiriyenko

Get full text

Combined use of non-steroidal anti-inflammatory drugs and symptomatic slow-acting drugs in musculoskeletal diseases by A. E. Karateev, A. M. Lila, V. A. Parfenov, M. N. Khokhlova, M. A. Strakhov

“…Thus, non-drug approaches (patient education, kinesiotherapy, psychotherapeutic methods, etc.), non-steroidal anti-inflammatory drugs (NSAIDs) and symptomatic slow-acting drugs (SYSADOA) seem to be the most rational approach in the debut of the treatment of OA, NBP and PSTP. …”
Get full text

A new method for early diagnosis and treatment of meniscus injury of knee joint in student physical fitness tests based on deep learning method by Yan Fang, Lu Liu, Qingyu Yang, Shuang Hao, Zhihai Luo

Get full text

Research on Correction Method of Water Quality Ultraviolet-Visible Spectrum Data Based on Compressed Sensing by Fengxiao Li, Bin Tang, Mingfu Zhao, Xinyu Hu, Shenghui Shi, Mi Zhou

Get full text